STAT 243: Stochastic Processes

University of California, Santa Cruz

Includes probabilistic and statistical analysis of random processes, continuous-time Markov chains, hidden Markov models, point processes, Markov random fields, spatial and spatio-temporal processes, and statistical modeling and inference in stochastic processes. Applications to a variety of fields. (Formerly AMS 263.)

Average GPA: 3.90

Grade distribution records: 10 students across 1 terms.

Grade distribution

GradeStudentsPercent
A440.0%
A-220.0%
S440.0%

Based on 10 student grade records across 1 term and 1 professor.

Instructors

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